Biology subjects

Ohara, O.

Publications and source records attributed to Ohara, O..

15 recordsLinked to original sources

bioRxiv2026

A High-Sensitivity and High-Throughput LC-MS Workflow for Low-Input and Single-Cell Proteomics

Single-cell proteomics (SCP) requires sample preparation that minimizes sample loss and highly sensitive LC-MS analysis because the amount of protein available from a single cell is extremely limited. Here, we developed an integrated workflow for low-input and single-cell proteomics based on single-cell proteomics by LMNG-assisted sample preparation (scpLASP), which enables microliter-scale sample preparation using standard laboratory consumables. Systematic optimization of peptide reconstitution conditions identified 0.01% n-dodecyl-{beta}-D-maltoside (DDM) combined with 0.01% lauryl maltose neopentyl glycol (LMNG) as the condition yielding the highest number of identified peptides among those tested for low-input samples. Optimization of the LC mobile-phase composition identified 0.5% acetic acid with 1% dimethyl sulfoxide (DMSO) as the optimal condition, increasing the mean number of identified protein groups from 6,767 with 0.1% formic acid to 7,409 for 250 pg HeLa digests analyzed using an Orbitrap Astral Zoom. Shortening the LC gradient from 11 to 5.5 min enabled higher analytical throughput while maintaining mean identification counts of 6,558 and 7,088 protein groups from 100 and 250 pg HeLa digests, respectively, with median protein-level coefficients of variation of 9.20% and 6.99%. When the optimized workflow was applied to HEK293-derived Expi293F single cells using the same 5.5-min LC gradient, an effective analytical throughput of 135 samples per day was achieved with an injection volume of 4.5 {micro}L, accounting for sample-loading time. This workflow identified a median of 5,655 protein groups per cell using an empirical spectral library generated from 20-cell samples. Overall, this study establishes a sensitive and high-throughput workflow for low-input and single-cell proteomics that combines low-loss microliter-scale sample preparation with optimized LC-MS analysis, achieving high proteome depth and analytical throughput without requiring specialized nanoliter-scale sample-preparation devices.

biochemistry↗

bioRxiv2026

Serum preprocessing workflows differentially shape biological readout in data-independent acquisition proteomics of systemic juvenile idiopathic arthritis

Serum proteomics is increasingly used for minimally invasive biomarker discovery and disease phenotyping, and the choice of serum preprocessing workflow can shape proteome depth, quantitative characteristics, and downstream biological readouts. However, disease-oriented comparisons within a single cohort remain limited. Here, we compared four serum preprocessing workflows--Top14 depletion (TOP14D), tomato lectin affinity purification (TomAP), and two nanoparticle-based enrichment workflows (NPA and NPB)--using serum from six patients with systemic juvenile idiopathic arthritis (sJIA) and six age- and sex-matched healthy controls, and analyzed them using unified data-independent acquisition mass spectrometry (DIA-MS) and a statistical pipeline. We evaluated proteome depth, missingness, quantitative characteristics, group separation, differential abundance signatures, pathway enrichment, curated sJIA-related gene set coverage, pre-ranked gene set enrichment analysis (GSEA) results, and detection of inflammasome/interferon-related proteins. TomAP yielded the greatest proteome depth (7612 proteins), followed by NPB (6735 proteins) and NPA (6602 proteins), whereas TOP14D yielded the smallest protein set (3303 proteins). Principal component analysis (PCA) showed a separation between the sJIA and control groups for all workflows. Differentially expressed proteins (DEPs) showed limited overlap, with only 75 DEPs common to all four workflows. Functional enrichment patterns were workflow-dependent; TOP14D and TomAP mainly captured neutrophil/myeloid and inflammatory processes, whereas NPA and NPB captured RNA processing- and translation-related signals. TomAP showed relatively broad coverage and positive enrichment of curated sJIA-related gene sets associated with inflammation, innate immunity, and macrophage activation syndrome (MAS). Inflammasome/interferon-related proteins, including NLRC4, PYCARD, GSDMD, MEFV, IL-18, OAS3, and MYD88, showed workflow-dependent detectability and differential abundance. These findings support a disease-oriented benchmark for fit-for-purpose workflow selection according to the disease axis and analytical objective rather than proteome depth alone.

biochemistry↗

bioRxiv2026

Development of an Ethylenediaminetetraacetic Acid-Enhanced Deep Proteomic Profiling Method for Dried Blood Spots and Its Application in Mouse Disease Models

Dried blood spots (DBS) are well-established microsamples used in clinical testing and newborn screening. However, their use in deep proteomics is hindered by highly abundant blood proteins and inefficient protein recovery from filter paper matrices. The non-targeted analysis of non-specifically DBS-absorbed proteins (NANDA) workflow partially overcomes the impact of abundant blood proteins and has enabled the identification of over 5,000 proteins from DBS samples. Nonetheless, residual abundant proteins, including hemoglobin and fibrinogen, constrain deep proteomic analysis. Therefore, this study aimed to evaluate the effects of the metal chelator ethylenediaminetetraacetic acid (EDTA) on the depth of DBS proteomic analysis. An optimized EDTA-enhanced NANDA protocol that incorporated a 100 mM EDTA wash step was compatible with standard DBS collection procedures and required no modification of current clinical workflows, markedly enhancing the depletion of abundant proteins and facilitating its potential use in clinical and translational settings. When combined with Orbitrap Astral data-independent acquisition mass spectrometry, this approach enabled the single-shot identification of more than 7,000 proteins from DBS samples; to the best of our knowledge, this represents the deepest proteome coverage reported to date, and the workflow further supported high-throughput and highly reproducible analyses. Additionally, its application to mouse disease models revealed disease-specific systemic immune signatures from minimal blood volumes. Collectively, these results establish EDTA-enhanced NANDA as a practical and scalable workflow that overcomes longstanding limitations of DBS proteomics, thereby enabling deep, high-throughput, minimally invasive proteomic profiling across diverse biological and experimental contexts.

molecular biology↗

bioRxiv2026

TomAP-MS: an improved tomato lectin affinity purification-based mass spectrometry workflow enabling ultra-deep plasma proteomics

Plasma proteomics is increasingly important for biomarker discovery and disease stratification; however, comprehensive and high-throughput analysis remains challenging because of the extreme dynamic range of plasma proteins. We previously established tomato lectin affinity purification-based mass spectrometry (TomAP-MS), a workflow that enhances plasma proteome coverage via tomato lectin-mediated enrichment. The initial workflow depended on a 4% sodium dodecyl sulfate (SDS) elution, followed by SP3-based purification and digestion, which raised complexity and restricted throughput. In this study, we developed an improved TomAP-MS workflow incorporating lauryl maltose neopentyl glycol (LMNG)-assisted acid elution (LAcE), in which proteins are eluted under acidic conditions in the presence of LMNG. This process is followed by pH adjustment and direct tryptic digestion without SP3 cleanup. Compared with conventional acid elution and the original SDS/SP3 workflow, LAcE increased protein identifications while simplifying sample preparation and improving throughput. Using the optimized workflow, we identified more than 7,500 proteins from human plasma and demonstrated broader applicability in extracellular vesicle enrichment and protein interaction analysis workflows. We demonstrated that ethylenediaminetetraacetic acid plasma was the preferred specimen type, enabling the identification of over 5,000 proteins from just 1 {micro}L of plasma, with minimal impact on proteomic profiles after up to three freeze-thaw cycles. Additionally, the analysis of plasma from 200 healthy individuals reproducibly detected 4,117 proteins across all samples, including many proteins associated with inherited disorders. These findings establish TomAP-MS with LAcE as a practical platform for deep plasma proteomics, supporting its future application in proteomics-based screening and diagnostics.

biochemistry↗

bioRxiv2026

RIPK3-RNASE1 axis as a potential therapeutic and clinical monitoring target in VEXAS syndrome

Vacuole, E1 enzyme, X-linked, autoinflammatory, somatic (VEXAS) syndrome (VS) is a severe autoinflammatory disease driven by somatic mutations in ubiquitin-like modifier activating enzyme 1 (UBA1), for which disease activity biomarkers and therapeutic targets are needed. We conducted longitudinal deep phenotyping of patients with VS and found that ribonuclease 1 (RNASE1) expression is most strongly correlated with the disease activity score measured by the VEXAS Current Activity Form (VEXASCAF). Single-cell RNA-sequencing showed that RNASE1 was upregulated in VS monocytes. We generated human monocytic cell lines harboring UBA1 mutations (p.Met41Val, p.Met41Leu, and p.Met41Thr). These cells exhibited varying degrees of impaired ubiquitination and subsequent pathological features such as the unfolded protein response, increased pro-inflammatory cytokine production, cell death, and RNASE1 expression, mirroring the genotype-phenotype associations observed in patients with VS. Multi-omics analyses revealed that genotypes linked to greater clinical severity were enriched in pro-inflammatory, interferon, and necroptosis signatures. Notably, functional interrogation demonstrated that inhibition of receptor-interacting protein kinase 3 (RIPK3), a key regulator of necroptosis, markedly suppressed all these pathological features, including the elevated RNASE1 expression. These results identify the RIPK3-RNASE1 axis in VS, highlighting RNASE1 as a potential biomarker and RIPK3 as an attractive therapeutic target.

immunology↗

bioRxiv2026

DIA-MS based plasma peptidomic workflow for profiling organ-derived peptides

Plasma contains diverse bioactive peptides that play crucial roles in maintaining homeostasis and regulating disease responses. However, the presence of peptides derived from high-abundance proteins such as albumin makes comprehensive analysis of native peptides secreted by organs challenging. This study aimed to establish a highly sensitive plasma peptidomic approach by combining data-independent acquisition (DIA) with spectral libraries of plasma and organs. First, peptides were extracted from plasma and eleven organ types using a high-yield peptide extraction method, the differential solubilization method. These peptides were then measured via data-dependent acquisition (DDA) analysis using a timsTOF HT for constructing empirical spectral library. Subsequently, DIA-MS data from plasma samples were measured and analyzed using this spectral library. This strategy achieved identification of, on average, over 5,500 peptides per run, with over 2,000 organ-derived peptides including 19 known bioactive peptides. The novel strategy proposed here enables highly sensitive quantitative analysis of organ-derived peptides in plasma, linking them to their secreting organs. It is expected to substantially contribute not only to the discovery of biomarkers and novel bioactive peptides but also to elucidating the pathophysiology of systemic diseases.

biochemistry↗

bioRxiv2024

A novel newborn screening modality: Non-targeted proteome analysis using low-cost iron powders

In this study, we developed a simple protein extraction method for dried blood spots (DBS) that potentially meets the throughput required for newborn screening (NBS) and optimizes non-targeted proteomic analysis in combination with liquid chromatography coupled mass spectrometry in the data-independent-acquisition mode (DIA-LC-MS/MS). The developed pipeline, termed Non-targeted Analysis of Non-specifically DBS-Absorbed proteins (NANDA), successfully addressed the following three challenges: (1) processing of 96 3.2-mm DBS punches in parallel using low-cost iron powders with a robotic system, (2) identifying more than 5,000 proteins using DIA-LC-MS/MS, and (3) improving DIA-LC-MS/MS throughput to 40 samples/day with minimal compromise in protein coverage depth. The results imply that this pipeline can open new venues for conducting NBS using non-targeted quantitative proteome profiling, which has been a currently missing modality in NBS.

molecular biology↗

bioRxiv2024

Ultra-deep proteomics by Thin-diaPASEF with a 60-cm long column system

Proteomics using mass spectrometry (MS) has significantly advanced, offering deep insights into complex proteomes. The timsTOF MS platform with its parallel accumulation-serial fragmentation (PASEF) technology has achieved high scan speeds and high-quality spectra. Bukers timsTOF HT, which features TIMS-XR technology, offers an improved dynamic range and analysis depth, supporting high sample loadings. Moreover, various improvements to the data-independent acquisition method based on the PASEF technology (diaPASEF) have been reported. Despite these advancements, most high-level deep proteomic reports are based on the Orbitrap Astral and Orbitrap Exploris 480, and analytical systems using timsTOF MS still require improvement. Here, Brukers timsTOF HT was used to validate and optimize key diaPASEF parameters, leading to the development of a Thin-diaPASEF method. This method provides a high quantitative accuracy and consistency. In our validation, 9,400 proteins were identified in a single shot from HEK cells (strictly controlled Protein false discovery rate < 1%), the highest number analyzed by the timsTOF MS series using standard human cultured cells. Furthermore, by combining Thin-diaPASEF with an improved Lycopersicon esculentum lectin method, over 5,000 proteins were identified in a 24-sample/d analysis, and we succeeded in constructing a system with high proteome coverage that can be used for biomarker discovery.

biochemistry↗

bioRxiv2024

Development of a new genotype-phenotype linked antibody screening system

Antibodies are powerful tools for the therapy and diagnosis of various diseases. In addition to conventional hybridoma-based screening, recombinant antibody-based screening has become a common choice; however, its application is hampered by two factors: 1) screening starts after Ig gene cloning and recombinant antibody production only, and 2) the antibody is composed of paired chains, heavy and light, commonly expressed by two independent expression vectors. Here, we introduce a method for the rapid screening of recombinant monoclonal antibodies by establishing a Golden Gate-based dual-expression vector and in-vivo expression of membrane-bound antibodies. Using this system, we demonstrate the rapid isolation of influenza cross-reactive antibodies with high affinity from immunized mice within 7 days. This system is particularly useful for isolating therapeutic or diagnostic antibodies, e.g., during foreseen pandemics. Impact StatementA Golden Gate-based dual-expression vector enables rapid screening, which facilitates efficient isolation of high-affinity cross-reactive antibodies for therapeutic or diagnostic use and provides a crucial advance for pandemic preparedness.

bioengineering↗

bioRxiv2023

Universal pretreatment development for low-input proteomics using Lauryl Maltose Neopentyl Glycol

In recent years, the demand for low-input proteomics, most notably single-cell proteomics (SCP), has increased. In this study, we developed a Lauryl Maltose Neopentyl Glycol (LMNG)-assisted sample preparation (LASP) method that suppresses the loss of proteins and peptides in samples by adding LMNG, a surfactant, to the digested solution and removing the LMNG simply via reversed phase solid-phase extraction. The advantage of removing LMNG during sample preparation for general proteomic analysis is that it prevents mass spectrometry (MS) contamination. When the LASP method was applied to the low-input SP3 method and on-bead digestion in immunoprecipitation-MS, the recovery of the digested peptides was greatly improved. Furthermore, we established a simple and operationally easy sample preparation method for SCP based on the LASP method (scpLASP) and identified a median of 1,175 proteins from a single HEK239F cell using liquid chromatography (LC)-MS/MS with a throughput of 80 samples per day.

biochemistry↗

bioRxiv2022

Exome-wide benchmark of difficult-to-sequence regions using short-read next-generation DNA sequencing

Next-generation DNA sequencing (NGS) in short-read mode has been recently used for genetic testing in various clinical settings. NGS data accuracy is crucial in clinical settings, and several reports regarding quality control of NGS data, focusing mostly on establishing NGS sequence read accuracy, have been published thus far. Variant calling is another critical source of NGS errors that remains mostly unexplored despite its established significance. In this study, we used a machine-learning-based method to establish an exome-wide benchmark of difficult-to-sequence regions using 10 genome sequence features on the basis of real-world NGS data accumulated in The Genome Aggregation Database (gnomAD) of the human reference genome sequence (GRCh38/hg38). We used the obtained metrics, designated "UNMET score," along with other lines of structural information of the human genome to identify difficult-to-sequence genomic regions using conventional NGS. Thus, the UNMET score could provide appropriate caveats to address potential sequential errors in protein-coding exons of the human reference genome sequence GRCh38/hg38 in clinical sequencing.

genomics↗

bioRxiv2022

HP1 deficiency results in De-Repression of Endogenous Retroviruses and Induction of Neurodegeneration via Complement

In aging cells and animal models of premature aging, heterochromatin loss coincides with transcriptional disruption including the activation of normally silenced endogenous retroviruses (ERVs). Here we show that loss of heterochromatin maintenance and de-repression of ERVs results in a chronic inflammatory environment characterized by neurodegeneration and cognitive decline. We discovered differential contributions of HP1 proteins to ERV silencing where HP1{gamma} is necessary and sufficient for H4K20me3 deposition and HP1{beta} deficiency causes aberrant DNA methylation. Combined loss of HP1{beta} and HP1{gamma} resulted in loss of DNA methylation at ERVK elements. Progressive ERV de-repression in HP1{beta}/{gamma} DKO mice was followed by stimulation of the integrated stress response, an increase of Complement 3+ reactive astrocytes and phagocytic microglia. This chronic inflammatory state coincided with age-dependent reductions in dendrite complexity and cognition. Our results demonstrate the importance of preventing loss of epigenetic maintenance, as this will be the only way postmitotic neuronal genomes can be protected and/or renewed. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/505641v4_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@f5feb7org.highwire.dtl.DTLVardef@25d73dorg.highwire.dtl.DTLVardef@5604a4org.highwire.dtl.DTLVardef@14ad84a_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2022

Quantitative live-cell imaging of secretion activity reveals dynamic immune responses

The measurement of cytokine secretions has contributed to the development of immunology; however, new methods that enable highly sensitive and efficient analysis are required for the precise characterisation of dynamic secretion activity when using rare cells or limited human specimens. Here, we report a new technology for quantitative live-cell imaging of secretion activity (qLCI-S), that enables high-throughput and dual-colour detection of prolonged secretion activity at the single-cell level, followed by transcriptome analysis for individual cells based on their phenotype. The power of the qLCI-S was demonstrated by visualising the individual and longitudinal cytokine secretion patterns of group 2 innate lymphoid cells, which comprised <0.01% human peripheral blood mononuclear cells, and identifying their minor subpopulations. This new technology will provide new insights into the spatiotemporal dynamic nature of various secretory functions and the development of fundamental tools for phenotypic drug discovery and regenerative and precision medicine.

biophysics↗

bioRxiv2021

Aberrant localization of CDC42 C-terminal variants to the Golgi apparatus drives pyrin inflammasome-dependent autoinflammation

Mutations in the C-terminal region of the CDC42 gene cause severe neonatal-onset autoinflammation. Elevated levels of serum IL-18 in patients and effectiveness of IL-1{beta}-blocking therapy indicate that the pathology involves abnormal inflammasome activation; however, the mechanism underlying autoinflammation remains to be elucidated. Using induced-pluripotent stem cells established from patients carrying CDC42R186C, we found that patient-derived cells secreted larger amounts of IL-1{beta} in response to pyrin-activating stimuli. Aberrant palmitoylation and localization of CDC42R186C protein to the Golgi apparatus promoted pyrin inflammasome assembly downstream of pyrin dephosphorylation. Aberrant subcellular localization was the common pathological feature shared by CDC42 C-terminal variants with inflammatory phenotypes, including CDC42*192C*24 that also localizes to the Golgi apparatus. Furthermore, the level of pyrin inflammasome overactivation paralleled that of mutant protein accumulation in the Golgi apparatus, but no that of the mutant GTPase activity. These results reveal an unexpected association between CDC42 subcellular localization and pyrin inflammasome activation that could pave way for elucidating the mechanism of pyrin inflammasome formation.

immunology↗

bioRxiv2021

Inhibition of immunoglobulin class-switching prevents pemphigus onset in desmoglein 3-specific B cell receptor knock-in mouse

Although immunoglobulin class-switching is essential for humoral immunity, its role in B-cell immune tolerance remains unclear. Pemphigus vulgaris is an autoimmune blistering disease caused by IgG targeting desmoglein 3, an adhesion molecule of keratinocytes. In this study, we generated knock-in mice that express anti-Dsg3 AK23 autoantibodies. Knock-in B cells developed normally in vivo and showed Ca2+ influx upon IgM cross-linking in vitro. The mice predominantly produced circulating AK23 IgM but little IgG antibodies. Although no IgG deposition or blister formation was observed in Dsg3-bearing tissues, Dsg3 immunization forced to induce pemphigus phenotype after class-switching to IgG in vivo. Transcriptomic analysis revealed that FCGR2B and Fc{gamma}RIIB-related genes were downregulated in B cells from peripheral blood of pemphigus patients. Indeed, in AK23 knock-in mice, Fcgr2b deficiency or haploinsufficiency spontaneously led to class-switching, AK23 IgG production, and pemphigus phenotype development. Thus, inhibition of pathogenic class-switching is a crucial tolerogenic process to prevent pemphigus onset, where attenuated Fc{gamma}RIIB signaling is one of the key predispositions to break this tolerogenic state.

immunology↗